Robotics
PyTorch
Cosmos
xperience10m_task_baseline_suite
embodied-ai
multimodal
xperience-10m
baseline
evaluation
qwen3-omni
Instructions to use cy0307/ropedia-xperience-10m-task-baselines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use cy0307/ropedia-xperience-10m-task-baselines with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "annotation": "data/sample/xperience-10m-sample/annotation.hdf5", | |
| "target": "action", | |
| "window_frames": 20, | |
| "stride_frames": 5, | |
| "min_label_fraction": 0.6, | |
| "test_fraction": 0.25, | |
| "epochs": 800, | |
| "learning_rate": 0.2, | |
| "l2": 0.001, | |
| "class_weights": true, | |
| "num_windows": 1144, | |
| "num_features": 2184, | |
| "num_train_windows": 853, | |
| "num_test_windows": 291, | |
| "classes": [ | |
| "Pick up kettle", | |
| "Position kettle to pour", | |
| "Move kettle", | |
| "Hold coffee carafe", | |
| "Grasp coffee scoop", | |
| "Transfer coffee to dripper", | |
| "Hold gooseneck kettle", | |
| "Grasp gooseneck kettle", | |
| "Lift gooseneck kettle", | |
| "Move kettle away", | |
| "Place kettle on table", | |
| "Pick up white bottle", | |
| "Pour liquid from white bottle", | |
| "Close bottle cap", | |
| "Place item on table", | |
| "Wait/Prepare for pouring", | |
| "Pour coffee", | |
| "Pour milk into coffee" | |
| ], | |
| "history": [ | |
| { | |
| "epoch": 1, | |
| "loss": 3.016953945159912, | |
| "train_accuracy": 0.038686987104337635 | |
| }, | |
| { | |
| "epoch": 80, | |
| "loss": 0.04629628360271454, | |
| "train_accuracy": 0.9988276670574443 | |
| }, | |
| { | |
| "epoch": 160, | |
| "loss": 0.03166668862104416, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 240, | |
| "loss": 0.02640012837946415, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 320, | |
| "loss": 0.023706600069999695, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 400, | |
| "loss": 0.022096924483776093, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 480, | |
| "loss": 0.02104203961789608, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 560, | |
| "loss": 0.020306091755628586, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 640, | |
| "loss": 0.019768282771110535, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 720, | |
| "loss": 0.01936069317162037, | |
| "train_accuracy": 1.0 | |
| }, | |
| { | |
| "epoch": 800, | |
| "loss": 0.019042566418647766, | |
| "train_accuracy": 1.0 | |
| } | |
| ] | |
| } |